Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Marouane Temimi"'
Publikováno v:
Energy Reports, Vol 9, Iss , Pp 819-828 (2023)
Ground-based sky cameras, which capture hemispherical images, have been extensively used for localized monitoring of clouds. This paper proposes a short-term forecasting approach based on transfer learning using Total Sky-Imager (TSI) images of the S
Externí odkaz:
https://doaj.org/article/9665b2480f394fefb3b6bd61d88a464a
Autor:
Mohamed Abdelkader, Jorge Humberto Bravo Mendez, Marouane Temimi, Dana R. N. Brown, Katie V. Spellman, Christopher D. Arp, Allen Bondurant, Holli Kohl
Publikováno v:
Remote Sensing, Vol 16, Iss 8, p 1368 (2024)
This study introduces a new automated system that blends multi-satellite information and citizen science data for reliable and timely observations of lake and river ice in under-observed northern regions. The system leverages the Google Earth Engine
Externí odkaz:
https://doaj.org/article/282b456179a943c792d608e921d28e25
Autor:
Oliver Branch, Andreas Behrendt, Osama Alnayef, Florian Späth, Thomas Schwitalla, Marouane Temimi, Michael Weston, Sufian Farrah, Omar Al Yazeedi, Siddharth Tampi, Karel de Waal, Volker Wulfmeyer
Publikováno v:
Meteorologische Zeitschrift, Vol 31, Iss 2, Pp 149-170 (2022)
In this study, we present multi-season measurements from a remote mountain peak observatory in the United Arab Emirates (UAE). During the campaign, Doppler lidar and cloud radar were employed using coordinated scan patterns, to study seedable convect
Externí odkaz:
https://doaj.org/article/b95967cfab074e4686841b6898cb8ef7
Publikováno v:
Frontiers in Environmental Science, Vol 11 (2023)
Methane (CH4) is a potent greenhouse gas with an important contribution to global warming. While national and international efforts have been put in place to reduce methane emissions, little is known about its variability, especially in hotspot regio
Externí odkaz:
https://doaj.org/article/bfa3051e74344557adbb5ca7758fff6b
Autor:
Marouane Temimi, Mohamed Abdelkader, Achraf Tounsi, Naira Chaouch, Shawn Carter, Bill Sjoberg, Alison Macneil, Norman Bingham-Maas
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 4896 (2023)
This study presents an innovative, automated deep learning-based technique for near real-time satellite monitoring of river ice conditions in northern watersheds of the United States and Canada. The method leverages high-resolution imagery from the V
Externí odkaz:
https://doaj.org/article/4a011b261dac47cf82033da0220d13c1
Autor:
Oleksandr Nesterov, Marouane Temimi, Ricardo Fonseca, Narendra Reddy Nelli, Yacine Addad, Emmanuel Bosc, Rachid Abida
Publikováno v:
Oceanologia, Vol 63, Iss 4, Pp 497-515 (2021)
The combined effect of climate change and steadily increasing seawater demand for industrial and domestic purposes in the Arabian Gulf region has a significant impact on the ecosystem in this region. Additionally, this effect may reduce the efficienc
Externí odkaz:
https://doaj.org/article/4b26ed897c3348afa3c18658eb8b526f
Publikováno v:
Water, Vol 15, Iss 13, p 2319 (2023)
The goal of this study is to evaluate the performance of the National Water Model (NWM) in time and space across the contiguous United States. Retrospective streamflow simulations were compared to records from 3260 USGS gauging stations, considering
Externí odkaz:
https://doaj.org/article/dcbf70be93734e08b8386804304953e2
Autor:
Narendra Nelli, Diana Francis, Ricardo Fonseca, Emmanuel Bosc, Yacine Addad, Marouane Temimi, Rachid Abida, Michael Weston, Charfeddine Cherif
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2022)
In this study, we characterize the meteorological conditions and planetary boundary layer dynamics in western United Arab Emirates based on 2012–2020 in-situ measurements. This multi-year analysis is then complemented by an intensive field-campaign
Externí odkaz:
https://doaj.org/article/2d9c38e77ce840ad846674b2e6c55da9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3229-3239 (2020)
This article describes the application of machine learning techniques to develop state-of-the-art detection and prediction system for spatiotemporal events found within remote sensing data; specifically, harmful algal bloom (HAB) events. We propose H
Externí odkaz:
https://doaj.org/article/3b2263986da945439f648977e810e01e
Autor:
Michael Weston, Diana Francis, Narendra Nelli, Ricardo Fonseca, Marouane Temimi, Yacine Addad
Publikováno v:
Earth and Space Science, Vol 9, Iss 2, Pp n/a-n/a (2022)
Abstract Fog microphysics characteristics play an important role in fog life cycle, radiation and visibility. Measurements of fog microphysics are important in understanding these processes and improving existing model parameterization schemes. From
Externí odkaz:
https://doaj.org/article/0ddf80b2cd9848d193c97ff809e8b35a